class_docstr: Abstract baseclass of AC runners.
docstr: Adjusts initial values where necessary.
docstr_tok: ["Adjusts","initial","values","where","necessary","."]
code: def __post_init__(self):
      """
      Adjusts initial values where necessary.
      """
  
      if self.concurrency <= 0:
          self.concurrency = query_cpu()
      if self.eval_concurrency <= 0:
          self.eval_concurrency = query_cpu()
  
imports: import dataclasses
  from abc import abstractmethod
  from typing import Callable, Union
  from maze.train.trainers.common.evaluators.rollout_evaluator import RolloutEvaluator
  from omegaconf import DictConfig
  from maze.core.agent.torch_actor_critic import TorchActorCritic
  from maze.core.annotations import override
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.structured_env import StructuredEnv
  from maze.core.rollout.rollout_generator import RolloutGenerator
  from maze.core.utils.factory import Factory
  from maze.train.parallelization.vector_env.sequential_vector_env import SequentialVectorEnv
  from maze.train.parallelization.vector_env.structured_vector_env import StructuredVectorEnv
  from maze.train.parallelization.vector_env.subproc_vector_env import SubprocVectorEnv
  from maze.train.trainers.common.actor_critic.actor_critic_trainer import ActorCritic
  from maze.train.trainers.common.model_selection.best_model_selection import BestModelSelection
  from maze.train.trainers.common.training_runner import TrainingRunner
  from maze.utils.process import query_cpu
label_desc: Use image node_id 1 for calling the ACRunner obj's underlying member method code with example usage: obj.__post_init__() without return types